{"id":"https://openalex.org/W4387951064","doi":"https://doi.org/10.1109/mapr59823.2023.10288706","title":"Memory-Driven Region Contrast for Enhanced Polyp Semantic Segmentation","display_name":"Memory-Driven Region Contrast for Enhanced Polyp Semantic Segmentation","publication_year":2023,"publication_date":"2023-10-05","ids":{"openalex":"https://openalex.org/W4387951064","doi":"https://doi.org/10.1109/mapr59823.2023.10288706"},"language":"en","primary_location":{"id":"doi:10.1109/mapr59823.2023.10288706","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mapr59823.2023.10288706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015489901","display_name":"Nguyen Viet Hoai","orcid":null},"institutions":[{"id":"https://openalex.org/I109689652","display_name":"FPT University","ror":"https://ror.org/03esj4g97","country_code":"VN","type":"education","lineage":["https://openalex.org/I109689652"]},{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nguyen Viet Hoai","raw_affiliation_strings":["Hanoi University of Science and Technology,BKAI Research Center,Vietnam","FPT Smart Cloud, Hanoi, Vietnam","BKAI Research Center, Hanoi University of Science and Technology, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,BKAI Research Center,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"FPT Smart Cloud, Hanoi, Vietnam","institution_ids":["https://openalex.org/I109689652"]},{"raw_affiliation_string":"BKAI Research Center, Hanoi University of Science and Technology, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114093990","display_name":"Pham Vu Hung","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Pham Vu Hung","raw_affiliation_strings":["Hanoi University of Science and Technology,BKAI Research Center,Vietnam","BKAI Research Center, Hanoi University of Science and Technology, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,BKAI Research Center,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"BKAI Research Center, Hanoi University of Science and Technology, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025948040","display_name":"Dinh Viet Sang","orcid":"https://orcid.org/0000-0002-9254-1327"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Dinh Viet Sang","raw_affiliation_strings":["Hanoi University of Science and Technology,BKAI Research Center,Vietnam","BKAI Research Center, Hanoi University of Science and Technology, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,BKAI Research Center,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"BKAI Research Center, Hanoi University of Science and Technology, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7944463491439819},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7473788857460022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7020317912101746},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6312320828437805},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5854492783546448},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5639411211013794},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.555281937122345},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5304239392280579},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4972214996814728},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4840940237045288},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.46999987959861755},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4205491542816162},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3367665410041809},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2882710099220276}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7944463491439819},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7473788857460022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7020317912101746},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6312320828437805},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5854492783546448},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5639411211013794},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.555281937122345},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5304239392280579},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4972214996814728},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4840940237045288},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.46999987959861755},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4205491542816162},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3367665410041809},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2882710099220276},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mapr59823.2023.10288706","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mapr59823.2023.10288706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2008359794","https://openalex.org/W2021088830","https://openalex.org/W2077474654","https://openalex.org/W2096733369","https://openalex.org/W2157364932","https://openalex.org/W2285968993","https://openalex.org/W2412782625","https://openalex.org/W2431080869","https://openalex.org/W2560328367","https://openalex.org/W2842511635","https://openalex.org/W2884436604","https://openalex.org/W2889814224","https://openalex.org/W2951970475","https://openalex.org/W2953070460","https://openalex.org/W2963026686","https://openalex.org/W2963351448","https://openalex.org/W2963420686","https://openalex.org/W2997286550","https://openalex.org/W2999580839","https://openalex.org/W3081752372","https://openalex.org/W3092344722","https://openalex.org/W3104061658","https://openalex.org/W3122412340","https://openalex.org/W3124994365","https://openalex.org/W3127751679","https://openalex.org/W3134036841","https://openalex.org/W3153332184","https://openalex.org/W3183021106","https://openalex.org/W3196075503","https://openalex.org/W3196107618","https://openalex.org/W3204166336","https://openalex.org/W4226329133","https://openalex.org/W4289822973","https://openalex.org/W4297808394","https://openalex.org/W4384268602","https://openalex.org/W4384517811","https://openalex.org/W6685737233","https://openalex.org/W6715287400","https://openalex.org/W6717772578","https://openalex.org/W6733814495","https://openalex.org/W6743731764","https://openalex.org/W6754416387","https://openalex.org/W6764051988","https://openalex.org/W6770612327","https://openalex.org/W6787674418","https://openalex.org/W6789459963","https://openalex.org/W6790275670","https://openalex.org/W6793972746","https://openalex.org/W6798407811","https://openalex.org/W6854323295"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2952760143","https://openalex.org/W2017776670","https://openalex.org/W2347897961","https://openalex.org/W2340870721","https://openalex.org/W2358318464","https://openalex.org/W2979236518","https://openalex.org/W2069592018"],"abstract_inverted_index":{"Colon":[0],"polyp":[1,27,52,90,117],"recognition":[2],"is":[3,139],"challenging":[4],"for":[5,51],"the":[6,66,74,87,102,107],"automatic":[7],"analysis":[8],"of":[9,69,89],"endoscopic":[10],"images":[11],"in":[12,26,95,115],"computer-aided":[13],"clinical":[14],"support":[15],"systems.":[16],"While":[17],"recent":[18],"deep":[19],"learning":[20,57,64],"models":[21],"have":[22],"shown":[23],"impressive":[24],"results":[25],"segmentation,":[28],"they":[29],"often":[30],"reveal":[31],"weaknesses":[32],"when":[33],"dealing":[34],"with":[35,86],"scarce":[36],"and":[37],"imbalanced":[38],"training":[39,104],"data.":[40],"To":[41],"overcome":[42],"this":[43],"issue,":[44],"we":[45,100],"present":[46],"a":[47,60,96,129],"novel":[48],"effective":[49],"method":[50,124],"semantic":[53],"segmentation":[54,118],"using":[55],"contrastive":[56],"supported":[58],"by":[59,128],"memory":[61,75],"bank.":[62],"Contrastive":[63],"disentangles":[65],"feature":[67,112],"representation":[68],"different":[70],"object":[71],"classes.":[72],"Meanwhile,":[73],"bank":[76],"gathers":[77],"hard":[78],"pixel":[79],"samples":[80],"within":[81],"successive":[82],"mini-batches":[83],"to":[84,105,109,133],"deal":[85],"scarcity":[88],"class":[91],"that":[92,122],"may":[93],"occur":[94],"single":[97],"mini-batch.":[98],"Furthermore,":[99],"leverage":[101],"teacher-student":[103],"force":[106],"model":[108],"learn":[110],"consistent":[111],"representation,":[113],"resulting":[114],"final":[116],"improvement.":[119],"Experiments":[120],"show":[121],"our":[123],"yields":[125],"superior":[126],"performance":[127],"large":[130],"margin":[131],"compared":[132],"other":[134],"state-of-the-art":[135],"approaches.":[136],"Our":[137],"code":[138],"available":[140],"at:":[141],"https://github.com/hoainv99/meco-polyp.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}
